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Frank Geisler

Frank Geisler

GDS Business Intelligence GmbH

Lüdinghausen, Germany

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Frank Geisler is the owner and CEO of GDS Business Intelligence GmbH, a leading Microsoft Solution Provider specializing in Data and AI. He holds numerous prestigious certifications, including Data Platform MVP, MCT, Azure Solutions Architect Expert, Azure Security Engineer Associate, Azure Data Engineer Associate, and DevOps Engineer Expert. In his role, Frank excels in building robust Business Intelligence systems leveraging Microsoft technologies such as SQL Server, Azure Data Platform, Microsoft Fabric, and Power BI. He is also proficient in constructing Azure infrastructures and architectures using PowerShell and Bicep.

Frank is a prolific author, having written several bestselling books including "Power BI für Dummies," "Azure für Dummies," "Docker für Dummies," and "Pro Serverless Data Handling with Microsoft Azure." As a frequent speaker, he has delivered insightful presentations at major national and international conferences like the PASS Community Summit, SQL BITS, and SQL Server Konferenz.

In addition to his professional achievements, Frank co-founded PASS Deutschland e.V. in 2004 and has served on its board of directors for many years. He also leads the Microsoft Data Community Regional Chapter Münsterland, contributing significantly to the community's growth and development.

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Area of Expertise

  • Information & Communications Technology

Topics

  • Microsoft Data Platfom
  • Docker
  • Kubernetes
  • Microsoft Azure
  • Azure Kubernetes Services (AKS)
  • Microsoft Azure DevOps
  • Database Design
  • Databases
  • SQL Server Data Tools
  • SQL Server Report Server
  • SQL Server Integration Services
  • Azure Data Studio
  • Realtime Analytics
  • Fabric Real-Time Analytics
  • ADX
  • Azure Data Explorer
  • Bicep
  • Azure Bicep
  • Azure SQL Server

Advanced Timeseries Analytics and Anomaly detection in Fabric Realtime Intelligence

As businesses move toward hyper-responsive operations, the ability to detect anomalies and act on time series data in real time is becoming mission-critical. This session dives deep into how Microsoft Fabric’s Real-Time Intelligence (RTI) stack—powered by Kusto Query Language (KQL)—enables streaming time series analytics and intelligent anomaly detection at scale.

You’ll explore advanced KQL capabilities to:

Build and analyze dynamic time series models over streaming data using make-series, summarize, and render timechart

Apply native anomaly detection algorithms (series_decompose_anomalies, series_outliers, etc.) in real-time

Detect trend shifts, spikes, volatility, and data absence (heartbeat failure) in high-cardinality signals

Combine stateful pattern detection in KQL with event routing via Activator for intelligent automation

We’ll walk through real-world use cases—like monitoring IoT telemetry, infrastructure stability, and SLA breaches—and showcase how to embed anomaly detection directly into streaming dataflows with sub-minute latency using Eventstreams, KQL, and Activator.

Expect hands-on demos, deep syntax insights, and performance tuning tips for advanced users. Whether you're building operational alerting for manufacturing or real-time analytics for finance, this session will help you take full control of your time series data in Fabric.

KQL Kickstart: Dein Einstieg in die Kusto-Abfragesprache

Nie zuvor wurden so viele Daten erzeugt und gesammelt wie heute. Diese Daten türmen sich auf zu einer unendlich großen Datenmenge die irgendwie verarbeitet und abgefragt werden muss. Eine Möglichkeit gigantische Datenmengen zu verarbeiten stellen die KQL-Datenbanken dar, die Bestandteil von Azure Data Explorer, Log Analytics oder Fabric Realtime Intelligence sind. In dieser einführenden Session erklärt Data Platform MVP Frank Geisler die Grundlagen von KQL, der Kusto Query Language, Sie werden lernen wie die Sprache aufgebaut ist, welche Operatoren es in KQL gibt und wie man einfache Abfragen schreibt. Nachdem wir die Grundlagen behandelt haben, werden wir uns mit weitergehenden Themen wie Zeitreihenanalyse, Visualisierung von Datensätzen (ja, auch das geht in KQL) und den Möglichkeiten von Graph Datenbanken in KQL beschäftigen.

The complete guide to certifications for a Microsoft Fabric professional

In this session we guide you through preparing for the DP-600 & DP-700 certification exams. Join two Data Platform MVPs as they use their real-world experience in the Data Engineering arena to help you prepare, practice, test and become certified.

Topics we cover during the workshop offer a holistic overview of what is required to pass Microsoft Fabric Certification exams and includes:
• Breakdown of the latest skills measured for the exam.
• Guide through each of the workloads covered for the exam.
• Targeted focus of the skills measured in each workload.
• Demonstrations on how to self-prepare for the exam.
• Expert exam tips.
• Recommended resources.
During the workshop we will also show demos to see where some elements are connected to help with memory muscle. For example, a real-time demo to show how various items in the lifecycle management are connected and an end-to-end Real-Time analytics demo from an industry recognized expert.
At the end of this workshop, you will have a good overview about what is required for you to pass DP-600 and earn your Fabric Analytics Engineer Associate certification or the DP-700 for Implementing Data Engineering Solutions Using Microsoft Fabric.

Build A Fabric Real-time Intelligence Solution in One Day

Real-Time Intelligence in Fabric is designed to enable organisations to bring their streaming, high-granularity, time-sensitive event data into Fabric and build various analytical, visual and action oriented data applications and experiences with it. In this session, you will learn about what Fabric Real-time Intelligence is meant for and will then build an end-to-end solution using streaming data.

This session will get you hands-on with Real-Time Hub, Eventstream, Eventhouse, Data Activator, Real-time Dashboards, Power BI, and Copilot with combination of Microsoft MVPs and Fabric product group members to guide you along the way.

The end-to-end solution we build together will encompass:
• Discovering and cataloging your data streams using Real-Time Hub
• Connecting to streaming data from various sources around the world
• Cleaning, normalizing, preparing data for superior query time experiences
• Leveraging Copilot to discover streaming data
• Low-code/no-code experiences for data exploration
• Developing dashboards

IaC Thunderdome: Bicep vs. Terraform!

As organizations increasingly adopt cloud technologies, managing infrastructure efficiently becomes paramount. Infrastructure as Code (IaC) tools play a crucial role in achieving this goal. In this session, we delve into a head-to-head comparison between two popular IaC tools: Bicep and Terraform. Specifically, we explore their strengths, weaknesses, and suitability for data infrastructure scenarios.
During the session we will dive into the following aspects:

1. Language: When you have understood the concept of Infrastructure-as-Code both Bicep and Terraform code is quite readable. Bicep is a relatively new language while Terraform is more mature and have a rich ecosystem. How are they licensed and how will that affect you in your scenario?
2. State and Backend: How do Bicep and Terraform handle state management? What are the implications of incremental deployment in Bicep and how do Terraforms required use of a state file affect scalability? How is configuration drift handled in the two tools? How do you make sure to secure your IaC backend from bad actors
3. Infrastructure Targets: Bicep is Azure exclusive while Terraform has multi-cloud support. Besides the obvious, how does that affect you, if at all?
4. CLI Tools: We do a comparison between Bicep’s integration with Azure CLI and Terraforms CLI. Furthermore we show practical examples of using CLI commands for deployment.
5. CI/CD: How can you streamline your IaC delivery with tools like Bicep and Terraform, especially when you have multiple team members contributing to your cloud? How is testing handled and do regression-testing of IaC exist? We’ll have a look at possibilities using GitHub for this.

The session concludes with decision factors for Bicep or Terraform, so when should you use what taking factors like cloud environment, project scope and team expertise into account. We will give you some best practices for making an informed decision. Join us for an insightful session where we dissect Bicep and Terraform, equipping you with the knowledge to make informed choices for your data infrastructure projects.

PowerShell and dbatools - Your secret Superpower

Being a Database Administrator is a daunting task. So many things to do, so many tasks to fullfil. Why not getting in your phone booth, change your cloths and be the superhero everyone is waiting for? In this demo packed session german Data Platform MVP Frank Geisler will give you an introduction to automate everyday SQL Server tasks though PowerShell and dbatools. After that everyone will ask..."Is it a bird?", "Is it a plane`?" "No it is a PowerShell and dbatools guru"...

Automating Power BI with PowerShell

In this Demo packed Session German Data Platform MVP Frank Geisler will show how to automate Power BI adminitstrative task with Power BI. Attendees will learn where to get the tools, what can be automated. There are several easy to follow examples, e.g. how to automatically create a Power BI Dataset via PowerShell or how to build a Power BI Inventory.

Data Wranglng the PowerShell way

Data is the Oil of the 21th century as The Economist once titled. In a perfect world this data is stored in the perfect data model, either on prem or in the cloud, nicely formed and ready to use. Right? But we live in a world that is far away from this. Data is everywhere. It is in SharPoint Lists, CSV Files, Excel Files, maybe in your System, maybe in another Application, even in your Active Directory. Often there are requirements to transform this data from one Data Storage to another just to sync data between different sources or just because the boss wants some Excel file (sigh). A big Data Transformation Solution like SSIS or Azure Data Factory might not always be the best solution to accomplish these tasks. Join german Data Platform MVP Frank Geisler in a demo centric session where he demonstrates how to transform data between different data sources with PowerShel, dbatools and ImprortExcel and do all this little transformations in the blink of an eye. And remember your Boss waiting on his Excel Sheet? Even this can be archeived easily through PowerShell!

From Xbox to Insights: Real-Time Data in Action

Fasten your seatbelts—this session is all gas, no brakes! Ready to learn how to build a Real-Time Intelligence Solution in Fabric but wondering how to create real-time data for your POC? Join us for an adrenaline-packed, live-demo session where we’ll turn Forza Horizon on Xbox into your data playground!

In just one hour, we’ll stream live telemetry data straight from the racetrack, transform it into powerful real-time insights with dashboards, and take immediate action using Data Activator. No prerecorded content here—just real-time solutions, real fun, and maybe a little tire smoke.

By the end, you’ll be ready to bring these concepts back to your own environment—even if your boss won’t let you use an Xbox at work. Get ready to race into the future of real-time analytics! 🏁

If you want it more formal, more hype, or tailored to a conference agenda, I can tune it fast.

Fabric February 2025 Sessionize Event

February 2025 Oslo, Norway

Data Community Day Austria 2025 Sessionize Event

January 2025 Vienna, Austria

SQL Saturday Oregon/SW Washington 2024 Sessionize Event

November 2024 Vancouver, Washington, United States

Technical Summit 2024 EN Sessionize Event

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dataMinds Connect 2024 Sessionize Event

October 2024 Mechelen, Belgium

SQL Konferenz 2024 Sessionize Event

September 2024 Hanau am Main, Germany

Future Data Driven Summit 2024 Sessionize Event

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Data Saturday Gothenburg 2024 Sessionize Event

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Data Saturday Oslo 2024 Sessionize Event

August 2024 Oslo, Norway

Data Saturday Rheinland 2024 Sessionize Event

June 2024 Sankt Augustin, Germany

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DataGrillen 2024 Sessionize Event

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SQLBits 2024 - General Sessions Sessionize Event

March 2024 Farnborough, United Kingdom

Data Saturday München 2024 Sessionize Event

February 2024 Munich, Germany

Fabric February 2024 Sessionize Event

February 2024 Oslo, Norway

Data Community Austria Day 2024 Sessionize Event

January 2024 Vienna, Austria

SQL Saturday Oregon/SW Washington 2023 Sessionize Event

November 2023 Vancouver, Washington, United States

Data Relay 2023 Sessionize Event

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SQL Konferenz 2023 Sessionize Event

September 2023 Hanau am Main, Germany

Data Saturday Rheinland 2023 Sessionize Event

June 2023 Sankt Augustin, Germany

SQL Saturday New York City 2023 Sessionize Event

May 2023 New York City, New York, United States

SQLBits 2023 - General Sessions Sessionize Event

March 2023 Newport, United Kingdom

SQL Saturday Oregon/SW Washington Sessionize Event

November 2022 Vancouver, Washington, United States

Data Relay 2022 Sessionize Event

October 2022

Frank Geisler

GDS Business Intelligence GmbH

Lüdinghausen, Germany

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